Mid-level Data Scientist - USCYBERCOM J2

Kinsley Power Systems; Alexandria (VA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Company-paid dental insurance

401(k) plan with company matching

Paid holidays and personal time off

Job summary

A leading analytics firm is seeking a Mid-level Data Scientist to support USCYBERCOM J2. This role involves conducting data analytics, creating ML-based tools, and documenting program instructions. Candidates must possess a bachelor's degree and at least 8 years of experience leading teams. An active TS/SCI clearance with a current Poly is required. The position offers competitive salaries and comprehensive benefits, including employee health insurance and a 401(k) plan.

Qualifications

• 8+ years of leading large teams within data science.
• In-depth knowledge of data analytics and mission requirements.
• Active TS/SCI clearance with current Poly.

Responsibilities

• Conduct data analytics, including statistical and predictive analysis.
• Create ML-based tools such as recommendation engines.
• Document Operating Instructions for programs initiated by the Government.

Skills

Data visualization

Statistical analysis

Data mining algorithms

Machine Learning

Predictive analytics

R

Python

SQL

Education

Bachelor's degree

Tools

Microsoft Office (Power BI)

Tableau

Job description

Celestar Corporation is seeking aMid-level Data Scientist to supportUSCYBERCOM J2.The primary place of performance will be in the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.

ANTICIPATED AWARD: July 2026
ANTICIPATED START: July 2026
PERIOD OF PERFORMANCE:1 Base Year + 4 Option Years
LOCATION: National Capital Region (NCR)

CLEARANCE REQUIREMENT: Active TS/SCI with a Current Poly (within 5 years)

About Us:

Celestar, a B&A Company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.

Responsibilities include, but are not limited to:

• Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds Al tools that automate certain processes. Duties typically include:
  • Creates various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
  • Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems.
  • Documents Operating Instructions (Ols) for Command wide programs and initiatives as assigned by the Government.
• Desired skills and experience include data visualization and use of graphical applications, including Microsoft Office (Power Bl) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms and prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.

Required qualifications/skills (Must Be Reflected on Your Resume):

·A minimum of 8 years of experience leading large teams within this field, including leadership experience within the past 2 years, and a bachelor’s degree.

·Demonstrates in-depth knowledge and understanding of the labor category activities required to meet mission requirements.

·Active TS/SCI with a Current Poly (within 5 years)

Come on board with a company that Values its Employees!

Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.